Predicting responses to sunitinib using single nucleotide polymorphisms: Progress and recommendations for future trials

Abstract Targeted therapy with tyrosine kinase inhibitors has led to a substantial improvement in the standard of care for patients with advanced or metastatic clear cell renal cell carcinoma. Because the mechanism of action, metabolism and transport of tyrosine kinase inhibitors can affect outcome...
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Gespeichert in:

Autor*in:	Ganapathi, Ram N [verfasserIn] Bukowski, Ronald M

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2011

Schlagwörter:	Vascular Endothelial Growth Factor Renal Cell Carcinoma Bevacizumab Sorafenib Sunitinib

Anmerkung:	© BioMed Central Ltd 2011

Übergeordnetes Werk:	Enthalten in: Genome medicine - London : BioMed Central, 2009, 3(2011), 12 vom: 30. Dez.
Übergeordnetes Werk:	volume:3 ; year:2011 ; number:12 ; day:30 ; month:12

Links:	Volltext

DOI / URN:	10.1186/gm295

Katalog-ID:	SPR030576903

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allfields	10.1186/gm295 doi (DE-627)SPR030576903 (SPR)gm295-e DE-627 ger DE-627 rakwb eng Ganapathi, Ram N verfasserin aut Predicting responses to sunitinib using single nucleotide polymorphisms: Progress and recommendations for future trials 2011 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © BioMed Central Ltd 2011 Abstract Targeted therapy with tyrosine kinase inhibitors has led to a substantial improvement in the standard of care for patients with advanced or metastatic clear cell renal cell carcinoma. Because the mechanism of action, metabolism and transport of tyrosine kinase inhibitors can affect outcome and toxicity, several investigators have pursued the identification of single nucleotide polymorphisms (SNPs) in genes associated with these actions. We discuss SNPs associated with outcome and toxicity following sunitinib therapy and provide recommendations for future trials to facilitate the use of SNPs in personalized therapy for this disease. Vascular Endothelial Growth Factor (dpeaa)DE-He213 Renal Cell Carcinoma (dpeaa)DE-He213 Bevacizumab (dpeaa)DE-He213 Sorafenib (dpeaa)DE-He213 Sunitinib (dpeaa)DE-He213 Bukowski, Ronald M aut Enthalten in Genome medicine London : BioMed Central, 2009 3(2011), 12 vom: 30. Dez. (DE-627)594424275 (DE-600)2484394-5 1756-994X nnns volume:3 year:2011 number:12 day:30 month:12 https://dx.doi.org/10.1186/gm295 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 3 2011 12 30 12
spelling	10.1186/gm295 doi (DE-627)SPR030576903 (SPR)gm295-e DE-627 ger DE-627 rakwb eng Ganapathi, Ram N verfasserin aut Predicting responses to sunitinib using single nucleotide polymorphisms: Progress and recommendations for future trials 2011 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © BioMed Central Ltd 2011 Abstract Targeted therapy with tyrosine kinase inhibitors has led to a substantial improvement in the standard of care for patients with advanced or metastatic clear cell renal cell carcinoma. Because the mechanism of action, metabolism and transport of tyrosine kinase inhibitors can affect outcome and toxicity, several investigators have pursued the identification of single nucleotide polymorphisms (SNPs) in genes associated with these actions. We discuss SNPs associated with outcome and toxicity following sunitinib therapy and provide recommendations for future trials to facilitate the use of SNPs in personalized therapy for this disease. Vascular Endothelial Growth Factor (dpeaa)DE-He213 Renal Cell Carcinoma (dpeaa)DE-He213 Bevacizumab (dpeaa)DE-He213 Sorafenib (dpeaa)DE-He213 Sunitinib (dpeaa)DE-He213 Bukowski, Ronald M aut Enthalten in Genome medicine London : BioMed Central, 2009 3(2011), 12 vom: 30. Dez. (DE-627)594424275 (DE-600)2484394-5 1756-994X nnns volume:3 year:2011 number:12 day:30 month:12 https://dx.doi.org/10.1186/gm295 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 3 2011 12 30 12
allfields_unstemmed	10.1186/gm295 doi (DE-627)SPR030576903 (SPR)gm295-e DE-627 ger DE-627 rakwb eng Ganapathi, Ram N verfasserin aut Predicting responses to sunitinib using single nucleotide polymorphisms: Progress and recommendations for future trials 2011 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © BioMed Central Ltd 2011 Abstract Targeted therapy with tyrosine kinase inhibitors has led to a substantial improvement in the standard of care for patients with advanced or metastatic clear cell renal cell carcinoma. Because the mechanism of action, metabolism and transport of tyrosine kinase inhibitors can affect outcome and toxicity, several investigators have pursued the identification of single nucleotide polymorphisms (SNPs) in genes associated with these actions. We discuss SNPs associated with outcome and toxicity following sunitinib therapy and provide recommendations for future trials to facilitate the use of SNPs in personalized therapy for this disease. Vascular Endothelial Growth Factor (dpeaa)DE-He213 Renal Cell Carcinoma (dpeaa)DE-He213 Bevacizumab (dpeaa)DE-He213 Sorafenib (dpeaa)DE-He213 Sunitinib (dpeaa)DE-He213 Bukowski, Ronald M aut Enthalten in Genome medicine London : BioMed Central, 2009 3(2011), 12 vom: 30. Dez. (DE-627)594424275 (DE-600)2484394-5 1756-994X nnns volume:3 year:2011 number:12 day:30 month:12 https://dx.doi.org/10.1186/gm295 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 3 2011 12 30 12
allfieldsGer	10.1186/gm295 doi (DE-627)SPR030576903 (SPR)gm295-e DE-627 ger DE-627 rakwb eng Ganapathi, Ram N verfasserin aut Predicting responses to sunitinib using single nucleotide polymorphisms: Progress and recommendations for future trials 2011 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © BioMed Central Ltd 2011 Abstract Targeted therapy with tyrosine kinase inhibitors has led to a substantial improvement in the standard of care for patients with advanced or metastatic clear cell renal cell carcinoma. Because the mechanism of action, metabolism and transport of tyrosine kinase inhibitors can affect outcome and toxicity, several investigators have pursued the identification of single nucleotide polymorphisms (SNPs) in genes associated with these actions. We discuss SNPs associated with outcome and toxicity following sunitinib therapy and provide recommendations for future trials to facilitate the use of SNPs in personalized therapy for this disease. Vascular Endothelial Growth Factor (dpeaa)DE-He213 Renal Cell Carcinoma (dpeaa)DE-He213 Bevacizumab (dpeaa)DE-He213 Sorafenib (dpeaa)DE-He213 Sunitinib (dpeaa)DE-He213 Bukowski, Ronald M aut Enthalten in Genome medicine London : BioMed Central, 2009 3(2011), 12 vom: 30. Dez. (DE-627)594424275 (DE-600)2484394-5 1756-994X nnns volume:3 year:2011 number:12 day:30 month:12 https://dx.doi.org/10.1186/gm295 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 3 2011 12 30 12
allfieldsSound	10.1186/gm295 doi (DE-627)SPR030576903 (SPR)gm295-e DE-627 ger DE-627 rakwb eng Ganapathi, Ram N verfasserin aut Predicting responses to sunitinib using single nucleotide polymorphisms: Progress and recommendations for future trials 2011 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © BioMed Central Ltd 2011 Abstract Targeted therapy with tyrosine kinase inhibitors has led to a substantial improvement in the standard of care for patients with advanced or metastatic clear cell renal cell carcinoma. Because the mechanism of action, metabolism and transport of tyrosine kinase inhibitors can affect outcome and toxicity, several investigators have pursued the identification of single nucleotide polymorphisms (SNPs) in genes associated with these actions. We discuss SNPs associated with outcome and toxicity following sunitinib therapy and provide recommendations for future trials to facilitate the use of SNPs in personalized therapy for this disease. Vascular Endothelial Growth Factor (dpeaa)DE-He213 Renal Cell Carcinoma (dpeaa)DE-He213 Bevacizumab (dpeaa)DE-He213 Sorafenib (dpeaa)DE-He213 Sunitinib (dpeaa)DE-He213 Bukowski, Ronald M aut Enthalten in Genome medicine London : BioMed Central, 2009 3(2011), 12 vom: 30. Dez. (DE-627)594424275 (DE-600)2484394-5 1756-994X nnns volume:3 year:2011 number:12 day:30 month:12 https://dx.doi.org/10.1186/gm295 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 3 2011 12 30 12
language	English
source	Enthalten in Genome medicine 3(2011), 12 vom: 30. Dez. volume:3 year:2011 number:12 day:30 month:12
sourceStr	Enthalten in Genome medicine 3(2011), 12 vom: 30. Dez. volume:3 year:2011 number:12 day:30 month:12
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Vascular Endothelial Growth Factor Renal Cell Carcinoma Bevacizumab Sorafenib Sunitinib
isfreeaccess_bool	false
container_title	Genome medicine
authorswithroles_txt_mv	Ganapathi, Ram N @@aut@@ Bukowski, Ronald M @@aut@@
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author	Ganapathi, Ram N
spellingShingle	Ganapathi, Ram N misc Vascular Endothelial Growth Factor misc Renal Cell Carcinoma misc Bevacizumab misc Sorafenib misc Sunitinib Predicting responses to sunitinib using single nucleotide polymorphisms: Progress and recommendations for future trials
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topic_title	Predicting responses to sunitinib using single nucleotide polymorphisms: Progress and recommendations for future trials Vascular Endothelial Growth Factor (dpeaa)DE-He213 Renal Cell Carcinoma (dpeaa)DE-He213 Bevacizumab (dpeaa)DE-He213 Sorafenib (dpeaa)DE-He213 Sunitinib (dpeaa)DE-He213
topic	misc Vascular Endothelial Growth Factor misc Renal Cell Carcinoma misc Bevacizumab misc Sorafenib misc Sunitinib
topic_unstemmed	misc Vascular Endothelial Growth Factor misc Renal Cell Carcinoma misc Bevacizumab misc Sorafenib misc Sunitinib
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title	Predicting responses to sunitinib using single nucleotide polymorphisms: Progress and recommendations for future trials
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title_full	Predicting responses to sunitinib using single nucleotide polymorphisms: Progress and recommendations for future trials
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title_sort	predicting responses to sunitinib using single nucleotide polymorphisms: progress and recommendations for future trials
title_auth	Predicting responses to sunitinib using single nucleotide polymorphisms: Progress and recommendations for future trials
abstract	Abstract Targeted therapy with tyrosine kinase inhibitors has led to a substantial improvement in the standard of care for patients with advanced or metastatic clear cell renal cell carcinoma. Because the mechanism of action, metabolism and transport of tyrosine kinase inhibitors can affect outcome and toxicity, several investigators have pursued the identification of single nucleotide polymorphisms (SNPs) in genes associated with these actions. We discuss SNPs associated with outcome and toxicity following sunitinib therapy and provide recommendations for future trials to facilitate the use of SNPs in personalized therapy for this disease. © BioMed Central Ltd 2011
abstractGer	Abstract Targeted therapy with tyrosine kinase inhibitors has led to a substantial improvement in the standard of care for patients with advanced or metastatic clear cell renal cell carcinoma. Because the mechanism of action, metabolism and transport of tyrosine kinase inhibitors can affect outcome and toxicity, several investigators have pursued the identification of single nucleotide polymorphisms (SNPs) in genes associated with these actions. We discuss SNPs associated with outcome and toxicity following sunitinib therapy and provide recommendations for future trials to facilitate the use of SNPs in personalized therapy for this disease. © BioMed Central Ltd 2011
abstract_unstemmed	Abstract Targeted therapy with tyrosine kinase inhibitors has led to a substantial improvement in the standard of care for patients with advanced or metastatic clear cell renal cell carcinoma. Because the mechanism of action, metabolism and transport of tyrosine kinase inhibitors can affect outcome and toxicity, several investigators have pursued the identification of single nucleotide polymorphisms (SNPs) in genes associated with these actions. We discuss SNPs associated with outcome and toxicity following sunitinib therapy and provide recommendations for future trials to facilitate the use of SNPs in personalized therapy for this disease. © BioMed Central Ltd 2011
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title_short	Predicting responses to sunitinib using single nucleotide polymorphisms: Progress and recommendations for future trials
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